You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@commons.apache.org by "Dimitri Pourbaix (JIRA)" <ji...@apache.org> on 2010/02/16 18:43:28 UTC

[jira] Resolved: (MATH-333) eigenvectors computation is wrong when several vectors share the same eigenvalue

     [ https://issues.apache.org/jira/browse/MATH-333?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dimitri Pourbaix resolved MATH-333.
-----------------------------------

    Resolution: Fixed

> eigenvectors computation is wrong when several vectors share the same eigenvalue
> --------------------------------------------------------------------------------
>
>                 Key: MATH-333
>                 URL: https://issues.apache.org/jira/browse/MATH-333
>             Project: Commons Math
>          Issue Type: Bug
>            Reporter: Luc Maisonobe
>            Assignee: Dimitri Pourbaix
>             Fix For: 2.1
>
>         Attachments: EigenDecompositionImpl.java, MATH-333_320.patch, SingularValueDecompositionImpl.java
>
>
> A typical example is to decompose identity matrix. There is only one eigenvalue: 1.0. Instead of returning n different eigenvectors forming a complete vector base, the same vector is returned n times.

-- 
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.